Answer: It is usefull.
Step-by-step explanation:
The regression squared talks to us about how well the model fits in the experimental data, where 0.0 means that the model does not fit at all, and 100% means that the model fits perfectly.
This is always true? well, really not, there are cases where you can have a regression square of 0.98, which would imply that the model is correct, but when you see the residual vs fit the plot, you may see some pattern, which implies that there is a problem with the model (you always expect to see randomness when you look at this graph). While for a prediction, this actually may work (at least in the range of the data points, outside this range the model and the data may not coincide at all)
Now, it still is useful in a certain range, so we can actually conclude that if R^2 = 0.949 represents a model that is useful for predicting the exam marks.
Answer:
122 employees
Step-by-step explanation:
So, first you have to find 22% OF 100 WHICH IS 22. (100x0.22= 22) Then, since they have to lay off 22% more people you add the 22% of 100 (22) to the 100. (100+22=122) This means that they have laid off 122 employees this year. I hope this helps!
Answer:
w=-3
Step-by-step explanation:
-3+w=-6 = original problem
w=-6+3 = u add 3 because u have it was negative so if u bring it to the other side u have to make it positive
w=-3 = answer
Answer:
I think that the answer is A.
Step-by-step explanation:
Answer:
Step-by-step explanation:
<h3>to understand this</h3><h3>you need to know about:</h3>
<h3>tips and formulas:</h3>
<h3>let's solve:</h3>
- rewrite the given expression:(x)²-2.2x+(2)²
- (x-2)²
and
we are done
